# MLE-Bench — AI model rankings

Can the AI do the work of a machine-learning engineer? It competes in real Kaggle competitions — building, training, and tuning models end to end — and the score reflects how well it places. Higher is better.

3 tracked models have a published MLE-Bench score. Higher is better. Scores come from published lab reports and benchmark sources; recorded sources appear beside the scores.

## Ranking

| Rank | Model | Developer | Score | Source | Released |
| --- | --- | --- | --- | --- | --- |
| 1 | Gemini 3.6 Flash | Google | 63.9% | Lab | Jul 21 2026 |
| 2 | Gemini 3.5 Flash | Google | 49.7% | Lab | May 19 2026 |
| 3 | Gemini 3.1 Pro | Google | 42.6% | Lab | Feb 19 2026 |


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Canonical page: https://aireleasetracker.com/benchmark/mle-bench
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.